Multi-Response Optimization of Inconel 718 High Speed Turning Using Taguchi Method Based Grey Relational Analysis

Inconel 718 is one of the most difficult-to-cut materials because of its low thermal diffusive property, high hardness, and high strength at high temperature. This paper presents a hybrid optimization approach for determination of the optimum turning process parameters (speed, feed and depth of cut) which minimize the Surface Roughness (SR) and maximize Metal Removal Rate (MRR) together in CNC high speed turning of Inconel 718 nickel based super alloy with uncoated tungsten carbide cutting tool. A multi-response optimization has been carried out by using Taguchi method based Grey Relational Analysis (GRA). Also the significant process parameters have been found out for the above process optimization by performing an ANOVA. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of the method. Validations of the modeled equations are proved to be well within the agreement with the experimental data.